Articles | Volume 23, issue 12
https://doi.org/10.5194/hess-23-5151-2019
https://doi.org/10.5194/hess-23-5151-2019
Research article
 | 
19 Dec 2019
Research article |  | 19 Dec 2019

Hybrid climate datasets from a climate data evaluation system and their impacts on hydrologic simulations for the Athabasca River basin in Canada

Hyung-Il Eum and Anil Gupta

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (18 Aug 2019) by Xing Yuan
AR by Hyung-Il Eum on behalf of the Authors (30 Aug 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (30 Aug 2019) by Xing Yuan
RR by Anonymous Referee #1 (22 Sep 2019)
RR by Anonymous Referee #2 (29 Sep 2019)
ED: Publish subject to revisions (further review by editor and referees) (30 Sep 2019) by Xing Yuan
AR by Hyung-Il Eum on behalf of the Authors (08 Oct 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (11 Oct 2019) by Xing Yuan
RR by Anonymous Referee #1 (21 Nov 2019)
ED: Publish as is (23 Nov 2019) by Xing Yuan
AR by Hyung-Il Eum on behalf of the Authors (26 Nov 2019)
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Short summary
As numerous high-resolution historical gridded climate datasets are available in Alberta, many previous works have simply combined multiple climate datasets without pre-assessment, which may cause unreliable outputs. This study suggested a systematic climate data evaluation system and generated a new performance-based climate dataset. This study proved that the new dataset is a better representation of historical climate conditions, enhancing hydrologic simulations.